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Tang A, Ng CH, Phang PH, Chan KE, Chin YH, Fu CE, Zeng RW, Xiao J, Tan DJH, Quek J, Lim WH, Mak LY, Wang JW, Chew NWS, Syn N, Huang DQ, Siddiqui MS, Sanyal A, Muthiah M, Noureddin M. Comparative Burden of Metabolic Dysfunction in Lean NAFLD vs Non-lean NAFLD - A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol 2022:S1542-3565(22)00669-3. [PMID: 35863685 DOI: 10.1016/j.cgh.2022.06.029] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/02/2022] [Accepted: 06/05/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS Nonalcoholic fatty liver disease (NAFLD) is traditionally associated with obesity. However, there is a subtype of NAFLD, namely NAFLD in lean, that occurs without obesity. However, a recent call to redefine NAFLD to metabolic-associated fatty liver disease focuses on obesity and metabolic dysfunction. Criticism has arisen from the perceived over emphasis on systemic comorbidities, which may disadvantage the lean. The current analysis seeks to quantify the degree of metabolic dysfunction in NAFLD in lean and compare with NAFLD in overweight and obese and non-NAFLD. METHODS Medline and Embase databases were searched from inception to March 3, 2022. The inclusion criteria were articles with NAFLD in lean patients presenting with baseline metabolic parameters. Comparisons were conducted with subgroup analysis. RESULTS Eighty-five articles were included in the meta-analysis. NAFLD in lean accounted for 13.11% (95% confidence interval [CI], 10.26%-16.62%) of the global population and 14.55% (95% CI, 11.32%-18.51%) in Asia. The degree of metabolic dysfunction was weight dependent with significantly less metabolic dysfunction in NAFLD in lean subjects as compared with NAFLD in overweight counterparts. For NAFLD in lean, only 19.56% (95% CI, 15.28%-24.69%) of the subjects were diabetic, whereas 45.70% (95% CI, 35.01%-56.80%) of obese subjects with NAFLD had diabetes (P < .01). Fasting blood glucose and systolic and diastolic blood pressure values were significantly lower in subjects with NAFLD in lean than in overweight and obese. CONCLUSION The current analysis highlights the weight-dependent nature of metabolic dysfunction in NAFLD. Lean subjects with NAFLD were significantly less metabolically unhealthy than were obese and overweight persons with NAFLD. An overreliance on metabolic dysfunction in defining fatty liver will be a flaw in potentially excluding previously characterized NAFLD.
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Affiliation(s)
- Ansel Tang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Poh Hui Phang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kai En Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Clarissa Elysia Fu
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Jieling Xiao
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Darren Jun Hao Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jingxuan Quek
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Lung Yi Mak
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong
| | - Jiong-Wei Wang
- Department of Surgery, Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Nanomedicine Translational Research Programme, Centre for NanoMedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Nicholas W S Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Nicholas Syn
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Daniel Q Huang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | - Mohammad Shadab Siddiqui
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Arun Sanyal
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Mark Muthiah
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | - Mazen Noureddin
- Cedars-Sinai Fatty Liver Program, Division of Digestive and Liver Diseases, Department of Medicine, Comprehensive Transplant Center, Cedars-Sinai Medical Centre, Los Angeles, California.
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Wong MYZ, Yap JJL, Sultana R, Cheah M, Goh GBB, Yeo KK. Association between non-alcoholic fatty liver disease and subclinical atherosclerosis in Western and Asian cohorts: an updated meta-analysis. Open Heart 2021; 8:openhrt-2021-001850. [PMID: 34933963 PMCID: PMC8693165 DOI: 10.1136/openhrt-2021-001850] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 10/25/2021] [Indexed: 11/16/2022] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is a well-established risk factor for cardiovascular disease, with ethnic and regional differences noted. With the recent surge of research within this field, we re-examine the evidence associating NAFLD with subclinical atherosclerosis, and investigate potential regional differences. Methods This is a systematic review and meta-analysis. PubMed and EMBASE were systematically searched for publications from January 1967 to July 2020 using standardised criteria. Original, observational studies investigating the association between NAFLD and either carotid intima-media thickness (CIMT) and/or coronary artery calcification (CAC) were included. Key outcomes included differences in mean CIMT, the presence of increased CIMT, the presence of CAC and the development/progression of CAC. Pooled ORs and pooled standard differences in means were calculated using random-effects models. Between-study heterogeneity was quantified using the Q statistic and I². Subgroup analyses stratified by region of study (Asian vs Western) were also conducted. Results 64 studies involving a total of 172 385 participants (67 404 with NAFLD) were included. 44 studies assessed the effect of NAFLD on CIMT, with the presence of NAFLD associated with increased CIMT (OR 2.00, 95% CI 1.56 to 2.56). 22 studies assessed the effects of NAFLD on CAC score, with the presence of NAFLD associated with the presence of any coronary calcification (OR 1.21, 95% CI 1.12 to 1.32), and the development/progression of CAC (OR 1.26, 95% CI 1.04 to 1.52). When stratified by region, these associations remained consistent across both Asian and Western populations (p>0.05). The majority (n=39) of studies were classified as ‘high quality’, with the remaining 25 of ‘moderate quality’. Conclusions There is a significant positive association between various measures of subclinical atherosclerosis and NAFLD, seen across both Western and Asian populations. These results re-emphasise the importance of early risk evaluation and prophylactic intervention measures to preclude progression to clinical cardiovascular disease in patients with NAFLD.
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Affiliation(s)
| | - Jonathan Jiunn Liang Yap
- Department of Cardiology, National Heart Center Singapore, Singapore.,Duke-NUS Medical School, Singapore
| | | | - Mark Cheah
- Department of Gastroenterology & Hepatology, Singapore General Hospital, Singapore
| | - George Boon Bee Goh
- Duke-NUS Medical School, Singapore.,Department of Gastroenterology & Hepatology, Singapore General Hospital, Singapore
| | - Khung Keong Yeo
- Department of Cardiology, National Heart Center Singapore, Singapore .,Duke-NUS Medical School, Singapore
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Arana-Pazos KC, Narvaezrivera JL, Maceda-Serrano A, Benitez-Maldonado DR, Rubio-Guerra AF. Correlation between epicardial fat thickness with intima-media thickness and ankle-brachial index in patients with metabolic syndrome. THE NATIONAL MEDICAL JOURNAL OF INDIA 2021; 34:151-153. [PMID: 34825540 DOI: 10.25259/nmji_182_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Background An increase in epicardial fat thickness (EFT) has been associated with increased cardiovascular risk and the development of atherosclerosis. Transthoracic echo-cardiography provides a reliable measurement of EFT. We evaluated the relationship of EFT with carotid intima-media thickness (CIMT) and ankle-brachial index (ABI), in patients with metabolic syndrome. Methods We assessed 80 patients with metabolic syndrome who underwent echocardiography; EFT was measured by two cardiologists. The CIMT (B-mode colour imaging of extracranial carotid arteries using high-resolution ultrasound) was also measured by a certified ultrasonographer, and ABI was measured by the main researcher. Results We did not find any correlation between ABI with EFT (r=0.0103, p=0.93) or with CIMT (r=-0.1625, p=0.15). However, we found a significant correlation between EFT and CIMT (r=0.2718, r2=0.074, p=0.015). When we evaluated the risk for a CIMT >0.9 mm in patients with an EFT >3 mm, we found a statistically significant association (p=0.039). Interestingly, only 1 patient with an EFT <3 mm had a CIMT >0.9 mm. Conclusion We found that the EFT correlates with CIMT in patients with metabolic syndrome, which explains, at least in part, the higher risk of atherosclerosis in them. Measurement of EFT should be part of the cardiovascular risk evaluation in patients with metabolic syndrome.
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Affiliation(s)
- Karla C Arana-Pazos
- Research Unit, Plan de San Luis S/N Esq Bandera, Col Ticomán, D.F. C.P. 07330, México
| | - Jorge L Narvaezrivera
- Echocardiography Department, Plan de San Luis S/N Esq Bandera, Col Ticomán, D.F. C.P. 07330, México
| | | | | | - Alberto Francisco Rubio-Guerra
- Ultrasound Department, Hospital General de Ticoman, SS CDMX, Plan de San Luis S/N Esq Bandera, Col Ticomán, D.F. C.P. 07330, México
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Abstract
A new cardiometabolic-based chronic disease (CMBCD) model is presented that provides a basis for early and sustainable, evidence-based therapeutic targeting to promote cardiometabolic health and mitigate the development and ravages of cardiovascular disease. In the first part of this JACC State-of-the-Art Review, a framework is presented for CMBCD, focusing on 3 primary drivers (genetics, environment, and behavior) and 2 metabolic drivers (adiposity and dysglycemia) with applications to 3 cardiovascular endpoints (coronary heart disease, heart failure, and atrial fibrillation). Specific mechanistic pathways are presented configuring early primary drivers with subsequent adiposity, insulin resistance, β-cell dysfunction, and metabolic syndrome, leading to cardiovascular disease. The context for building this CMBCD model is to expose actionable targets for prevention to achieve optimal cardiovascular outcomes. The tactical implementation of this CMBCD model is the subject of second part of this JACC State-of-the-Art Review.
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Cardiometabolic-Based Chronic Disease, Adiposity and Dysglycemia Drivers: JACC State-of-the-Art Review. J Am Coll Cardiol 2020; 75:525-538. [PMID: 32029136 DOI: 10.1016/j.jacc.2019.11.044] [Citation(s) in RCA: 110] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 11/06/2019] [Accepted: 11/17/2019] [Indexed: 02/07/2023]
Abstract
A new cardiometabolic-based chronic disease (CMBCD) model is presented that provides a basis for early and sustainable, evidence-based therapeutic targeting to promote cardiometabolic health and mitigate the development and ravages of cardiovascular disease. In the first part of this JACC State-of-the-Art Review, a framework is presented for CMBCD, focusing on 3 primary drivers (genetics, environment, and behavior) and 2 metabolic drivers (adiposity and dysglycemia) with applications to 3 cardiovascular endpoints (coronary heart disease, heart failure, and atrial fibrillation). Specific mechanistic pathways are presented configuring early primary drivers with subsequent adiposity, insulin resistance, β-cell dysfunction, and metabolic syndrome, leading to cardiovascular disease. The context for building this CMBCD model is to expose actionable targets for prevention to achieve optimal cardiovascular outcomes. The tactical implementation of this CMBCD model is the subject of second part of this JACC State-of-the-Art Review.
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Ye Q, Zou B, Yeo YH, Li J, Huang DQ, Wu Y, Yang H, Liu C, Kam LY, Tan XXE, Chien N, Trinh S, Henry L, Stave CD, Hosaka T, Cheung RC, Nguyen MH. Global prevalence, incidence, and outcomes of non-obese or lean non-alcoholic fatty liver disease: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol 2020; 5:739-752. [PMID: 32413340 DOI: 10.1016/s2468-1253(20)30077-7] [Citation(s) in RCA: 467] [Impact Index Per Article: 116.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 03/05/2020] [Accepted: 03/07/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Although non-alcoholic fatty liver disease (NAFLD) is commonly associated with obesity, it is increasingly being identified in non-obese individuals. We aimed to characterise the prevalence, incidence, and long-term outcomes of non-obese or lean NAFLD at a global level. METHODS For this systematic review and meta-analysis, we searched PubMed, Embase, Scopus, and the Cochrane Library from inception to May 1, 2019, for relevant original research articles without any language restrictions. The literature search and data extraction were done independently by two investigators. Primary outcomes were the prevalence of non-obese or lean people within the NAFLD group and the prevalence of non-obese or lean NAFLD in the general, non-obese, and lean populations; the incidence of NAFLD among non-obese and lean populations; and long-term outcomes of non-obese people with NAFLD. We also aimed to characterise the demographic, clinical, and histological characteristics of individuals with non-obese NAFLD. FINDINGS We identified 93 studies (n=10 576 383) from 24 countries or areas: 84 studies (n=10 530 308) were used for the prevalence analysis, five (n=9121) were used for the incidence analysis, and eight (n=36 954) were used for the outcomes analysis. Within the NAFLD population, 19·2% (95% CI 15·9-23·0) of people were lean and 40·8% (36·6-45·1) were non-obese. The prevalence of non-obese NAFLD in the general population varied from 25% or lower in some countries (eg, Malaysia and Pakistan) to higher than 50% in others (eg, Austria, Mexico, and Sweden). In the general population (comprising individuals with and without NAFLD), 12·1% (95% CI 9·3-15·6) of people had non-obese NAFLD and 5·1% (3·7-7·0) had lean NAFLD. The incidence of NAFLD in the non-obese population (without NAFLD at baseline) was 24·6 (95% CI 13·4-39·2) per 1000 person-years. Among people with non-obese or lean NALFD, 39·0% (95% CI 24·1-56·3) had non-alcoholic steatohepatitis, 29·2% (21·9-37·9) had significant fibrosis (stage ≥2), and 3·2% (1·5-5·7) had cirrhosis. Among the non-obese or lean NAFLD population, the incidence of all-cause mortality was 12·1 (95% CI 0·5-38·8) per 1000 person-years, that for liver-related mortality was 4·1 (1·9-7·1) per 1000 person-years, cardiovascular-related mortality was 4·0 (0·1-14·9) per 1000 person-years, new-onset diabetes was 12·6 (8·0-18·3) per 1000 person-years, new-onset cardiovascular disease was 18·7 (9·2-31·2) per 1000 person-years, and new-onset hypertension was 56·1 (38·5-77·0) per 1000 person-years. Most analyses were characterised by high heterogeneity. INTERPRETATION Overall, around 40% of the global NAFLD population was classified as non-obese and almost a fifth was lean. Both non-obese and lean groups had substantial long-term liver and non-liver comorbidities. These findings suggest that obesity should not be the sole criterion for NAFLD screening. Moreover, clinical trials of treatments for NAFLD should include participants across all body-mass index ranges. FUNDING None.
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Affiliation(s)
- Qing Ye
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA; The Third Central Clinical College of Tianjin Medical University, Tianjin, China; Department of Hepatology of The Third Central Hospital of Tianjin, Tianjin, China; Tianjin Key Laboratory of Artificial Cells, Tianjin, China
| | - Biyao Zou
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA
| | - Yee Hui Yeo
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA; Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jie Li
- Department of Infectious Disease, Shandong Provincial Hospital Affiliated to Shandong University, Ji'nan, Shandong, China
| | - Daniel Q Huang
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yuankai Wu
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA; Department of Infectious Diseases, the Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hongli Yang
- Department of Infectious Disease, Shandong Provincial Hospital Affiliated to Shandong University, Ji'nan, Shandong, China
| | - Chuanli Liu
- Department of Infectious Disease, Shandong Provincial Hospital Affiliated to Shandong University, Ji'nan, Shandong, China
| | - Leslie Y Kam
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA
| | - Xiang Xuan Eunice Tan
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | - Nicholas Chien
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA
| | - Sam Trinh
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA
| | - Linda Henry
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA
| | | | - Tetsuya Hosaka
- Department of Hepatology, Toranomon Hospital, Tokyo, Japan
| | - Ramsey C Cheung
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA; Division of Gastroenterology and Hepatology, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Mindie H Nguyen
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, CA, USA.
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Chen X, Xi H, Ji L, Liu W, Shi F, Chen Y, Wang X, Zhang W, Sui X, Wang X, Zhang H, Liu H, Li D. Relationships between menstrual status and obesity phenotypes in women: a cross-sectional study in northern China. BMC Endocr Disord 2020; 20:91. [PMID: 32571278 PMCID: PMC7310131 DOI: 10.1186/s12902-020-00577-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 06/15/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND One of most important concerns of postmenopausal women is obesity. The relationships between menstruation status and obesity phenotypes are unclear. This study aimed to assess the associations between menstrual status and different obesity phenotypes in women. METHODS In total, 5373 women aged ≥40 years were recruited from the Jidong and Kailuan communities. Basic information was collected via clinical examination, laboratory testing and standardized questionnaires. The women were stratified into the following three groups: menstrual period, menopausal transition period and postmenopausal period. General obesity was defined as a body mass index (BMI) of ≥28 kg/m2. Central obesity was defined as a waist-to-hip ratio (WHR) of > 0.85. Visceral obesity was defined as the presence of nonalcoholic fatty liver disease (NAFLD) and increased pericardial fat volume (PFV). RESULTS The numbers of women in the menstrual, menopausal transition, and postmenopausal periods were 2807 (52.2%), 675 (12.6%) and 1891 (35.2%), respectively. The adjusted odds ratio (OR) and 95% confidence interval (CI) for central obesity among women in the menopausal transition and postmenopausal periods compared with women in the menstrual period were 0.99 (0.82-1.19) and 1.52 (1.26-1.84), respectively. The OR for NAFLD among postmenopausal women was 1.78 (1.44-2.20). The adjusted β-coefficient (standard error, SE) for PFV among postmenopausal women was 41.25 (7.49). The adjusted OR for general obesity among postmenopausal women was 1.01 (0.77-1.34). CONCLUSIONS This study demonstrated that menopause is an independent risk factor for central and visceral obesity but not general obesity.
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Affiliation(s)
- Xueyu Chen
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China
| | - Hui Xi
- Department of Cardiology, Peking University International Hospital, Beijing, China
| | - Long Ji
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China
| | - Weihua Liu
- School of nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China
| | - Fengxue Shi
- The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong Province, China
| | - Yanru Chen
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China
| | - Xiaohui Wang
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China
| | - Wenran Zhang
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China
| | - Xinxia Sui
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China
| | - Xiaojun Wang
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China
| | - Haitao Zhang
- Taian Maternal and Child Health Hospital, Tai'an, Shandong Province, China
| | - Huamin Liu
- School of Public Health, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Dong Li
- School of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China.
- The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong Province, China.
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